EDITORIAL article
Front. Earth Sci.
Sec. Geohazards and Georisks
Volume 13 - 2025 | doi: 10.3389/feart.2025.1650509
This article is part of the Research TopicGeohazard Monitoring, Modeling, and Assessment in Harsh EnvironmentsView all 8 articles
Editorial: Geohazard Monitoring, Modeling, and Assessment in Harsh Environments
Provisionally accepted- 1Nanjing University, Nanjing, China
- 2Concordia University, Montreal, Canada
- 3University of Manitoba, Winnipeg, Canada
- 4University of Cincinnati, Cincinnati, United States
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Accurate detection and real-time monitoring of potential geohazards are critical for both early warning and understanding the mechanisms behind hazardous events. Wu et al.apply a combination of kinematic and numerical modeling techniques to assess the stability of a complex rock slope beneath a major overpass in Chongqing, China. Their multi-method approach provides a template for assessing infrastructure safety in urbanized, geologically complex settings. Meanwhile, Tak et al. employ GIS-based analysis to uncover the influence of altitude, slope, and waterway characteristics on slowmoving landslides in South Korea, providing valuable empirical data for the development of national-scale hazard information systems.Effective mitigation depends on both innovative materials and early warning systems. Zhu et al. propose improvements to enzyme-induced calcite precipitation (EICP) for soil stabilization, demonstrating that prehydrolysis and accelerated injection rates can markedly enhance the uniformity and total amount of calcite in treated soils. This technique holds promise for stabilizing loose, erosion-prone soils in harsh environments.Addressing compound geohazards, Ratnasari et al. develop an early warning system for tsunamis triggered by volcanic collapses, using numerical modeling and a precomputed database to support rapid, real-time forecasting for disaster-prone volcanic islands.Collectively, the articles in this Research Topic highlight the benefits of interdisciplinary, multi-scale approaches to geohazard monitoring, modeling, and assessment. By bridging laboratory innovation, field monitoring, and predictive analytics, these studies help drive progress toward more resilient communities and infrastructure in the face of growing geohazard risks. We thank all contributing authors and reviewers for their dedication and insight, and we hope this collection inspires further innovation and collaboration in the geoscience and engineering communities.
Keywords: Geohazard, monitoring-, Climate Change, Geotechnical modeling, early warning, Stability assessment
Received: 20 Jun 2025; Accepted: 14 Jul 2025.
Copyright: © 2025 Zhu, Li, Maghoul, Wang and TAN. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Hong-Hu Zhu, Nanjing University, Nanjing, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.